A query-based medical information summarization system using ontology knowledge

被引:0
作者
Chen, Ping [1 ]
Verma, Rakesh [2 ]
机构
[1] Univ Houston Downtown, Dept Math & Comp Sci, 1 Main St, Houston, TX 77002 USA
[2] Univ Houston, Dept Comp Sci, Houston, TX 77004 USA
来源
19TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS | 2006年
基金
美国国家科学基金会;
关键词
biomedical ontology; UMLS; text summarization; information retrieval;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As huge amounts of knowledge are created rapidly, effective information access becomes an important issue. Especially for critical domains, such as medical and financial areas, efficient retrieval of concise and relevant information is highly desired. In this paper we propose a new user query based text summarization technique that makes use of Unified Medical Language System, an ontology knowledge source from National Library of Medicine. We compare our method with keyword-only approach, and our ontology-based method performs clearly better Our method also shows potential to be used in other information retrieval areas.
引用
收藏
页码:37 / +
页数:3
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